D.S. Wills

1.3k citations
91 papers · 719 · h-index 17

Impact in

Papers in

D.S. Wills

79 papers receiving 660 citations

Peers

D.S. Wills
Comparison fields: 5 of 57
  • Hardware and Architecture 310
  • Computer Networks and Communications 288
  • Electrical and Electronic Engineering 434
  • Computer Vision and Pattern Recognition 75
  • Media Technology 17
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Kazutami Arimoto Japan
Siamak Mohammadi Iran
Tim Tuan United States
Minsu Choi United States
Rolf Kraemer Germany
Jongmin Lee South Korea
Peter Debacker Belgium
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Citations per year

Countries citing papers authored by D.S. Wills

Since Specialization
Citations

This map shows the geographic impact of D.S. Wills's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D.S. Wills with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.S. Wills more than expected).

Fields of papers citing papers by D.S. Wills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.S. Wills. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D.S. Wills. The network helps show where D.S. Wills may publish in the future.

Co-authors

The 25 scholars most cited alongside D.S. Wills, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.S. Wills Line = papers co-authored together D.S. Wills links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200261
2 200353
3 200540
4 200238
5 200730
6 200130
7 199924
8 200519
9 200419
10 200018
11 200218
12 199617
13 199517
14 200217
15 200016
16 200116
17 200016
18 200216
19 199915
20 199714

About D.S. Wills

D.S. Wills is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 91 papers that have together received 719 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (32 papers), Parallel Computing and Optimization Techniques (31 papers), CCD and CMOS Imaging Sensors (20 papers), Embedded Systems Design Techniques (18 papers), Semiconductor Lasers and Optical Devices (17 papers), Low-power high-performance VLSI design (13 papers), Photonic and Optical Devices (12 papers) and Advanced Optical Network Technologies (10 papers). The work is most often cited by research in Hardware and Architecture (310 citations), Computer Networks and Communications (288 citations), Electrical and Electronic Engineering (434 citations), Computer Vision and Pattern Recognition (75 citations) and Media Technology (17 citations). D.S. Wills has collaborated with scholars based in United States, Italy and Puerto Rico. Frequent co-authors include Peter G. Sassone, J.D. Meindl, P. Pant, Mondira Pant, N.M. Jokerst, M.A. Brooke, J.C. Eble, Antonio Gentile, Vivek De and April S. Brown. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Journal of Selected Topics in Quantum Electronics, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Computers and Journal of Optical Networking.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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